Post Procedural Cognitive Load Measurement with Immediate Feedback to Guide Curriculum Development

Relationship Between Cognitive Load Theory, Intrinsic Motivation and Emotions in Healthcare Professions Education: A Perspective on the Missing Link

Cognitive Load Theory (CLT) is one of the key cognitive theories that have been used to assess learners' information and working memory load. CLT has been applied to Simulation Based Education (SBE) and optimizing instructional design. However, a challenge that occurs is that these high-fidelity simulations and mannequins of critically ill patients can elicit negative emotions in learners which can unfavorably impact the learning process. There is also a potential for cognitive overload if the simulation is more authentic and requires more dynamic interactions and lead to high levels of anxiety due to a novel learning environment, which can also have detrimental effects on learning process. Hence, it is critical for health professional educators (HPE) to know how to minimize cognitive load to improve learning as a professional in a workplace setting. The literature on the role of emotions, intrinsic motivation, cognitive load is scarce in HPE literature. Specifically when not being studied together at once since they move dynamically together and affect the learning for the learner. Therefore, the purpose of this perspective paper is to cover the gap in the literature and propose a framework and recommendation for future HPE research.

Fundamentals of Microsurgery: A Novel Simulation Curriculum Based on Validated Laparoscopic Education Approaches

BACKGROUND

 Microsurgical techniques have a steep learning curve. We adapted validated surgical approaches to develop a novel, competency-based microsurgical simulation curriculum called Fundamentals of Microsurgery (FMS). The purpose of this study is to present our experience with FMS and quantify the effect of the curriculum on resident performance in the operating room.

METHODS

 Trainees underwent the FMS curriculum requiring task progression: (1) rubber band transfer, (2) coupler tine grasping, (3) glove laceration repair, (4) synthetic vessel anastomosis, and (5) vessel anastomosis in a deep cavity. Resident anastomoses were also evaluated in the operative room with the Stanford Microsurgery and Resident Training (SMaRT) tool to evaluate technical performance. The National Aeronautics and Space Administration Task Load Index (NASA-TLX) and Short-Form Spielberger State-Trait Anxiety Inventory (STAI-6) quantified learner anxiety and workload.

RESULTS

 A total of 62 anastomoses were performed by residents in the operating room during patient care. Higher FMS task completion showed an increased mean SMaRT score (p = 0.05), and a lower mean STAI-6 score (performance anxiety) (p = 0.03). Regression analysis demonstrated residents with higher SMaRT score had lower NASA-TLX score (mental workload) (p < 0.01) and STAI-6 scores (p < 0.01).

CONCLUSION

 A novel microsurgical simulation program FMS was implemented. We found progression of trainees through the program translated to better technique (higher SMaRT scores) in the operating room and lower performance anxiety on STAI-6 surveys. This suggests that the FMS curriculum improves proficiency in basic microsurgical skills, reduces trainee mental workload, anxiety, and improves intraoperative clinical proficiency.

Cognitive Load Management: An Invaluable Tool for Safe and Effective Surgical Training

This article highlights the importance of considering Cognitive Load (CL) and Cognitive Load Theory (CLT) during surgical training, focusing on the acquisition of intra-operative skills. It describes the basis of CLT with the overarching aim of describing CLT-based techniques to enhance current training strategies and surgical performance, many of which are instinctively already employed in surgical practice. Currently, methods of feedback and assessment are imperfect - typically subjective, unsystematic, opportunistic, or retrospective, and at risk of human bias. Surgical Sabermetrics, the advanced analytics of surgical and audio-visual data, aims to enhance this feedback by providing objective, real-time, digital-based feedback. This article introduces the benefit of real-time measurement of CL to enhance feedback and its applications to surgical performance that follow the ethos of Surgical Sabermetrics.¹ The 2022 theme for ICOSET was "Making it Better." Cognitive Load and Surgical Sabermetrics principles provide tools to make Surgical training better, with the goal of higher quality care for patients.

Objective Measurement of Learners' Cognitive Load During Simulation-Based Trauma Team Training: A Pilot Study

INTRODUCTION

Literature has shown cognitive overload which can negatively impact learning and clinical performance in surgery. We investigated learners' cognitive load during simulation-based trauma team training using an objective digital biomarker.

METHODS

A cross-sectional study was carried out in a simulation center where a 3-h simulation-based interprofessional trauma team training program was conducted. A session included three scenarios each followed by a debriefing session. One scenario involved multiple patients. Learners wore a heart rate sensor that detects interbeat intervals in real-time. Low-frequency/high-frequency (LF/HF) ratio was used as a validated proxy for cognitive load. Learners' LF/HF ratio was tracked through different phases of simulation.

RESULTS

Ten subjects participated in 12 simulations. LF/HF ratios during scenario versus debriefing were compared for each simulation. These were 3.75 versus 2.40, P < 0.001 for scenario 1; 4.18 versus 2.77, P < 0.001 for scenario 2; and 4.79 versus 2.68, P < 0.001 for scenario 3. Compared to single-patient scenarios, multiple-patient scenarios posed a higher cognitive load, with LF/HF ratios of 3.88 and 4.79, P < 0.001, respectively.

CONCLUSIONS

LF/HF ratio, a proxy for cognitive load, was increased during all three scenarios compared to debriefings and reached the highest levels in a multiple-patient scenario. Using heart rate variability as an objective marker of cognitive load is feasible and this metric is able to detect cognitive load fluctuations during different simulation phases and varying scenario difficulties.